Speaker 0: Hello, and welcome to the Geek News Central
Speaker 0: podcast. It is Sunday, October twenty sixth. This
Speaker 0: is episode eighteen forty nine. We got a
Speaker 0: pretty sweet episode lined up for you guys
Speaker 0: tonight. This is Ray speaking this, this afternoon,
Speaker 0: afternoon for me at least, doing a little
Speaker 0: free shift show. So, hopefully, I can get
Speaker 0: this nice and polished before I have to
Speaker 0: head off to my, one of my jobs.
Speaker 0: But, lead story for you folks this evening.
Speaker 0: Eight hundred plus tech leaders urge pause on
Speaker 0: superintelligence race. We've seen the back and forth
Speaker 0: on this over and over. We've seen the
Speaker 0: war between AI doomers and AI boomers. But,
Speaker 0: a little bit of context into this article
Speaker 0: from CNBC before we get into it. Over
Speaker 0: eight hundred notable figures, including Apple cofounder Steve
Speaker 0: Wozniak, Virgin Mobile or Virgin's Richard Branson, and
Speaker 0: even members of the UK royal family have
Speaker 0: signed a petition petition urging world governments to
Speaker 0: slow or pause the development of superintelligent AI.
Speaker 0: The call follows recent breakthroughs in autonomous reasoning
Speaker 0: and fears that AI may surpass human control
Speaker 0: faster than regulation can keep up. Kinda interesting.
Speaker 0: I mean, I feel like this marks one
Speaker 0: of the most unified public statements from Tech
Speaker 0: Pioneers warning of AI's rapid trajectory. Whether you're,
Speaker 0: like, an optimist or skeptic regarding AI, this
Speaker 0: kinda shows that even insiders are nervous about
Speaker 0: what's being, like, unleashed, and and that a
Speaker 0: pause might be less about fear and more
Speaker 0: about keeping accountability for everything and how rapidly
Speaker 0: it's growing. But some of the key points
Speaker 0: from this article, superintelligence, a hypothetical form of
Speaker 0: AI that surpasses human intelligence, has become a
Speaker 0: buzzword in the AI race between giants like
Speaker 0: Meta and OpenAI. Yep. A group of prominent
Speaker 0: figures, including artificial intelligence and technology experts, has
Speaker 0: called for an end to efforts up to
Speaker 0: create superintelligence, a form of AI that would
Speaker 0: surpass humans on essentially all cognitive tasks. Over
Speaker 0: eight hundred fifty people, including tech leaders like
Speaker 0: Virgin Group founder Richard Branson and Apple, cofounder
Speaker 0: Steve Wozniak signed a statement published Wednesday calling
Speaker 0: for a pause in the development of superintelligence.
Speaker 0: The list of signatories was notably topped by
Speaker 0: prominent AI pioneers, including this computer scientist Yoshua
Speaker 0: Bengio and Joffe Hinton, who are widely considered
Speaker 0: godfathers godfathers of modern AI, meaning AI researchers
Speaker 0: like UC Berkeley Stewart Russell also signed on.
Speaker 0: That's kinda kinda interesting to kinda see this
Speaker 0: this front forming, against AI, here coming into
Speaker 0: the end of the year. You know, we've
Speaker 0: seen a lot of push for it, leading
Speaker 0: up to this, and I feel like the
Speaker 0: pushback has been real quiet, mostly amongst people
Speaker 0: that recognize the, the implications societally that building,
Speaker 0: AI supercenters and whatnot are causing in a
Speaker 0: lot of our communities. So it's cool to
Speaker 0: see them trying to pump slowdowns on, a
Speaker 0: lot of this superintelligence, especially being that, like,
Speaker 0: our infrastructures are not built to support these
Speaker 0: the supercenters for AI. I mean, they're reporting
Speaker 0: these centers in, like, gigawatts now instead of,
Speaker 0: like, their cost to, like, almost, like, signal
Speaker 0: that that that we need more energy on
Speaker 0: the grid. This is not most of these
Speaker 0: plans that they have in place, the the
Speaker 0: with energy that we're putting on the grid
Speaker 0: is not enough to support those supercenters. So
Speaker 0: kinda interesting to see what's gonna change with
Speaker 0: that, coming this year, but pretty sweet, news
Speaker 0: from CNBC. This one's written by Dylan Butts.
Speaker 0: But, yeah, let's get into the show. A
Speaker 0: little bit of new stuff with me this
Speaker 0: week. Had a real real busy school week,
Speaker 0: and, we finally were able to get a
Speaker 0: little beta running for some of the changes
Speaker 0: at Blueberry. So I'm super excited to kinda
Speaker 0: see that going forward. Hopefully, the test rollout,
Speaker 0: and you guys can see the PowerPress changes
Speaker 0: for those of you that podcast and use
Speaker 0: PowerPress. But, outside of that, just I've had
Speaker 0: a super busy week, a lot of homework,
Speaker 0: just juggling the the two jobs right now.
Speaker 0: So just trying to keep my head on
Speaker 0: straight. But, less less about me. Let's talk
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Speaker 0: us here at Geek News Central. Now I'm
Speaker 0: sure you guys have all heard about the
Speaker 0: crazy AWS outage we had earlier this week.
Speaker 0: Luckily, we weren't we didn't seem too affected
Speaker 0: at Blueberry. I had some issues with Zoom,
Speaker 0: that morning, just trying to, like, get into
Speaker 0: meetings to load stuff up. But, outside of
Speaker 0: it being slow, it it wasn't that wasn't
Speaker 0: a huge issue. But I I found this
Speaker 0: article that says, you know, Amazon reportedly placed
Speaker 0: replaced forty percent of AWS DevOps workers with
Speaker 0: AI days before the major crash, which is,
Speaker 0: I mean, I feel like that would be
Speaker 0: pretty indicative following our last, our last article
Speaker 0: or our lead story. So a little bit
Speaker 0: of context. An anonymous employee claimed that Amazon
Speaker 0: had laid off nearly half of its DevOps
Speaker 0: teams at AWS and replaced them with AI
Speaker 0: automation just days before a significant outage disrupted
Speaker 0: major clients. Amazon denies the timing was related,
Speaker 0: but internal Slack messages suggest otherwise. Oh, yeah.
Speaker 0: It's always the Slack messages. And then, you
Speaker 0: know, what does this kinda mean for us?
Speaker 0: If this is true, I feel like this
Speaker 0: is, like, a glimpse at the near term
Speaker 0: risks of replacing, like, critical human infrastructure roles
Speaker 0: with automation that's, like, not proven. You know?
Speaker 0: It's it's it's not tested with time. These
Speaker 0: employees are are dynamic and are able to
Speaker 0: make decisions to fix things on the fly,
Speaker 0: whereas automation tools aren't as flexible. And the
Speaker 0: question really isn't whether AI can do DevOps.
Speaker 0: It's whether, like, it should, especially without, like,
Speaker 0: any sort of redundancy or fail safes in
Speaker 0: place. But outside of that, let's just get
Speaker 0: into the article and see, like, what they've
Speaker 0: got for us. And, yeah, I mean, it's
Speaker 0: so there's articles outlining some of the platforms
Speaker 0: that were affected by this AWS outage, you
Speaker 0: know, Snapchat, McDonald, Roblox, Fortnite, you name it.
Speaker 0: A lot of people were down that day.
Speaker 0: Servers are back up at this point, but
Speaker 0: it was discovered that an interesting report had
Speaker 0: been published right before the outage, alleging that
Speaker 0: the company had laid off forty percent of
Speaker 0: its DevOps teams to replace them with AI.
Speaker 0: The author says that there was an email
Speaker 0: memo, which was briefly posted on the internal
Speaker 0: Wiki before being taken down, blamed the cuts
Speaker 0: on strategic automation initiatives. It reports that AI
Speaker 0: detects and fixes I'm permissions errors instantly, reveals
Speaker 0: broken VPC or subnet conflicts, and rolls back
Speaker 0: failed Lambda deployments without human input. Now there's
Speaker 0: a lot of skepticism around this article, and
Speaker 0: you should take it with a huge grain
Speaker 0: of salt. But the timing is curious, although
Speaker 0: we do not claim it is true or
Speaker 0: somehow connected to the crash. Okay. So this
Speaker 0: is all sort of hearsay. Nothing really, like,
Speaker 0: confirmed, confirmed. But regardless, I mean, to hear
Speaker 0: some of that, like, internal buzz or, like,
Speaker 0: get that you know, those inklings of what
Speaker 0: could be going on here, it's kinda really
Speaker 0: interesting, to piece together. So I feel like,
Speaker 0: you know, who knows if this is true,
Speaker 0: whether it's forty percent or twenty percent regardless?
Speaker 0: I'm sure that some automation changes have negatively
Speaker 0: impacted, you know, the service in such a
Speaker 0: way that it led to this crash. I'm
Speaker 0: sure. You know? But this article is from
Speaker 0: eighty dot l v. Thank you guys so
Speaker 0: much for sharing. But really interesting, article from
Speaker 0: eighty dot l v today just kind of,
Speaker 0: almost like a great follow-up to that previous
Speaker 0: one, like, whether we should slow down AI
Speaker 0: changes. Like, are we changing are we removing
Speaker 0: too many people? I saw another article earlier
Speaker 0: that was, like, saying, like, by implementing AI,
Speaker 0: we can remove jobs that are, like, pointless,
Speaker 0: but we wouldn't have those jobs if they
Speaker 0: were pointless. You know? It it was it
Speaker 0: came up for a reason. I'm sure that
Speaker 0: there is some sort of waste and that
Speaker 0: there are some jobs that should have some
Speaker 0: more overlap with other positions, but it's not
Speaker 0: necessarily true that it's waste all the time.
Speaker 0: So I wonder I wonder where that's driven
Speaker 0: from. Would you trust an AI to manage
Speaker 0: uptime for your favorite services? Would, like, would
Speaker 0: would you trust AI for DevOps? I feel
Speaker 0: like an AI and, you know, a a
Speaker 0: human that teamed up could be good, you
Speaker 0: know, just like how we're doing with all
Speaker 0: the code gen nowadays, but, you know, I
Speaker 0: don't know. I don't feel like it's ready
Speaker 0: for unsupervised free reign in those, you know,
Speaker 0: critical infrastructures, which nowadays, services like AWS is
Speaker 0: a critical infrastructure. It's crazy to say. But,
Speaker 0: yeah, let's move on. I found this article
Speaker 0: on Medium. I don't know I know they're
Speaker 0: kinda sticky with sharing sometimes, so hopefully, there's
Speaker 0: no issue with, checking this article out for
Speaker 0: you guys later. But let me just give
Speaker 0: you a little rundown to give you an
Speaker 0: idea of what they're sharing. Some context here.
Speaker 0: Microsoft's new gaming Copilot, faces a privacy backlash.
Speaker 0: So if you guys don't know what Copilot
Speaker 0: is, it's that it's Microsoft's, like, AI that's
Speaker 0: built into their Windows application. It's I feel
Speaker 0: like it's one of the most negative experiences
Speaker 0: about logging into a Windows PC or experiencing
Speaker 0: Windows update is that Copilot is is there,
Speaker 0: and you have to try to remove or
Speaker 0: hide it. I I feel like I had
Speaker 0: issues removing it the first time when I
Speaker 0: had updated upgraded my, my old PC to
Speaker 0: Windows eleven, and that just sent me off.
Speaker 0: I literally uninstalled Windows at that point. It
Speaker 0: switched my thing over to full Linux. So
Speaker 0: it's, I mean, there's some issues with that
Speaker 0: too, but I don't know. It just the
Speaker 0: layers of, you know, privacy invasion that's going
Speaker 0: on is crazy. But here's a new one.
Speaker 0: Microsoft new gaming copilot, an AI system built
Speaker 0: into Windows recall and Xbox Game Bar, has
Speaker 0: already failed multiple independent private privacy audits. Researchers
Speaker 0: found it recording desktop screenshots and chat logs
Speaker 0: even after users disabled data learning features. You
Speaker 0: know, after the recall controversy, this reignites the
Speaker 0: debate over Microsoft's growing surveillance footprint inside of
Speaker 0: Windows. If privacy settings don't actually work, users
Speaker 0: may rethink how tightly integrated AI should be
Speaker 0: with their games and operating systems. Yeah. Is
Speaker 0: convenience worth the cost of surveillance even in
Speaker 0: gaming? You know? That's that's ridiculous. I I
Speaker 0: was laughing at this picture that, you know,
Speaker 0: it was like a canonically accurate cookies message,
Speaker 0: and it was just like, you can reject
Speaker 0: the cookies, but we're gonna collect your data
Speaker 0: anyway. And I was just cracking up to
Speaker 0: say, yeah. That's the truth. But here's the
Speaker 0: article. With Windows eleven, Microsoft are currently rolling
Speaker 0: out gaming Copilot to all customers. This uses
Speaker 0: Copilot vision similar to Recall Under the Hood
Speaker 0: and basically inspects what gamers are doing using
Speaker 0: AI in order to give them hints and
Speaker 0: tips and such. The software is labeled beta,
Speaker 0: but is being pushed out to existing PCs
Speaker 0: anyway because, well, why not beta something in
Speaker 0: prod? It's twenty twenty five after all. I
Speaker 0: hate this. I hate this. It it appears
Speaker 0: in game bar, which is accessible from Windows
Speaker 0: key plus g, and you may not have
Speaker 0: it yet as they are staging deployment. So
Speaker 0: if you even if you're not in Windows
Speaker 0: install insiders, it looks like you'll have it
Speaker 0: installed. Yeah. And even if you uninstall Copilot
Speaker 0: from your PC, this gaming Copilot gets silently
Speaker 0: installed anyway. So that's unfair and ridiculous. I
Speaker 0: feel like that should be a trickle down
Speaker 0: no. Yeah. No onboarding, no notification that it's
Speaker 0: installed, and no privacy options. And the writer's
Speaker 0: in the UK, so they're sharing that this
Speaker 0: kinda shocked them because they've they've been pretty
Speaker 0: critical on privacy as you may know. But
Speaker 0: definitely check this article out if you're I
Speaker 0: wonder if there is actually a way to
Speaker 0: turn it off. Let me see. Okay. You
Speaker 0: can disable the gaming Copilot widget from the
Speaker 0: game bar. However, from experimentation so far, the
Speaker 0: network traffic is still running with the user
Speaker 0: interface not open. I don't know if this
Speaker 0: is a feature or a bug. Well, regardless,
Speaker 0: I would recommend turning it off if you're
Speaker 0: if you don't plan on using it or
Speaker 0: if you don't want your data to be
Speaker 0: sent to Microsoft. You can use it to
Speaker 0: help you out with your your game time,
Speaker 0: but then then what's the point then of
Speaker 0: of trying to, like, you know, crack the
Speaker 0: code in the game or whatever? Maybe if
Speaker 0: it's, like, map hints or something for people
Speaker 0: that are unfamiliar with game mechanics, I could
Speaker 0: see that. Alright. Well, why don't we move
Speaker 0: on to the next article? This one is
Speaker 0: from VentureBeat. Is this from where is this?
Speaker 0: I think I did wanna add this article
Speaker 0: because I thought this was kinda sweet for
Speaker 0: all you, LLM users On the opposite end
Speaker 0: of the spectrum, I guess, from our previous
Speaker 0: conversation, researchers discovered one simple prompt that boosts
Speaker 0: AI accuracy. And AI researchers have found that
Speaker 0: adding a single sentence, essentially a meta instruction
Speaker 0: for chain of thought reasoning, improves accuracy and
Speaker 0: consistency across major language models by up to
Speaker 0: thirty percent. The phrase triggers deeper reasoning steps
Speaker 0: before producing an answer. And I think kind
Speaker 0: of understanding how this phrase or this tool
Speaker 0: works will help you understand just how, AI
Speaker 0: tools actually work, that they're not actually responding
Speaker 0: to you. You know what I mean? I
Speaker 0: mean, in a sense. Why don't I read
Speaker 0: the article and you guys can get a
Speaker 0: sense for what I'm kinda trying to tell
Speaker 0: you? One of the coolest things about generative
Speaker 0: AI models, both large language models and diffusion
Speaker 0: based image generators, is that they are nondeterministic.
Speaker 0: This is the key word here, nondeterministic. It
Speaker 0: is despite their reputation among some critics as
Speaker 0: being fancy autocorrect, generative AI models actually generate
Speaker 0: their outlets by choosing from a distribution of
Speaker 0: the most probable NEX tokens, units of information,
Speaker 0: to fill out their response. Asking an LLM,
Speaker 0: what is the capital of France, will have
Speaker 0: have it sample its probability of probability distribution
Speaker 0: for France, capital cities, etcetera, to arrive at
Speaker 0: the answer, Paris. But the answer could come
Speaker 0: in the format, the capital of France is
Speaker 0: Paris or simply Paris or Paris, though it
Speaker 0: was Versailles at one point. So you can
Speaker 0: kinda see it's based on pattern matching rather
Speaker 0: than, like, thinking of the response, which maybe
Speaker 0: some people argue there's not much difference there,
Speaker 0: but but that understanding this this this prompt
Speaker 0: will will will kind of show you, the
Speaker 0: the term that they tell you to use
Speaker 0: here. So it's gonna be generate five responses
Speaker 0: with their corresponding probabilities sampled from the full
Speaker 0: distribution. And this method, it's called verbalized sampling,
Speaker 0: helps models like g p t four, Claude,
Speaker 0: and Gemini produce more diverse and human like
Speaker 0: outputs without retraining or access to internal parameters,
Speaker 0: which is kinda cool. LLMs so this is
Speaker 0: a quote from the the person who wrote
Speaker 0: the paper, Wei Yan Shi, an assistant professor
Speaker 0: at Northeastern University. So they're one of the
Speaker 0: coauthors. LLMs' potentials are not fully unlocked yet,
Speaker 0: as shown in our paper. Prompt optimization can
Speaker 0: be guided by thinking how about how LLMs
Speaker 0: are trained and aligned and can be proved
Speaker 0: theoretically. So then they kinda get into model
Speaker 0: collapse and how this verbalized sampling reverses model
Speaker 0: or model collapse. So the root cause of
Speaker 0: model collapse lies not just in algorithms like
Speaker 0: reinforcement learning from human feedback, but in the
Speaker 0: structure of human preferences. People tend to rate
Speaker 0: more familiar or typical answers as better, which
Speaker 0: nudges LLMs towards safe choices over diverse ones
Speaker 0: during fine tuning. However, this bias doesn't erase
Speaker 0: models' underlying knowledge. It just suppresses it. Versus
Speaker 0: works by bypassing this suppression. Instead of asking
Speaker 0: for the single most likely output, it invites
Speaker 0: the model to reveal a set of plausible
Speaker 0: responses and their relative probabilities. This distribution level
Speaker 0: prompting restores access to the richer diversity present
Speaker 0: in the base per pretraining model. So that's
Speaker 0: kinda cool. Try this out. I I will
Speaker 0: include the article in the show notes as
Speaker 0: well as the newsletter so you guys can
Speaker 0: get a little bit more detail from, VentureBeat.
Speaker 0: This was written by Carl Franzen, but as
Speaker 0: you guys can tell, like, it's based on
Speaker 0: probability oh, sorry. Probability, for to provide you,
Speaker 0: a context, you know, based on, you know,
Speaker 0: what's the most likely response to the respond
Speaker 0: the the prompt that you provided it. So
Speaker 0: asking it for multiple, you know, along, like,
Speaker 0: the most likely vectors or or whatever the
Speaker 0: statement was. One more time. Let's do it.
Speaker 0: Let's say the statement one more time so
Speaker 0: we don't lose it. Generate five responses with
Speaker 0: their corresponding probabilities sampled from the full distribution.
Speaker 0: Alright. So, yeah. And this will help with
Speaker 0: model collapse, help you get more diverse answers
Speaker 0: in your prompts, if you are using LLMs,
Speaker 0: which is I I think that's pretty cool.
Speaker 0: Prompt optimization really isn't talked about all that
Speaker 0: much, I feel like, and I think this
Speaker 0: is where you're getting the people that are
Speaker 0: optimizing their prompts are getting the best out
Speaker 0: of their LLM usage. You know? They're not
Speaker 0: being led by the nose, by the the
Speaker 0: model, and instead are able to make decisions
Speaker 0: based on, available options or routes that you
Speaker 0: could take. So I could see now, you
Speaker 0: know, looking back how this might, change how
Speaker 0: I might have prompted something in the past.
Speaker 0: So kinda cool to think about, kinda cool
Speaker 0: to look at. But definitely look into this
Speaker 0: or read this article if you guys get
Speaker 0: the chance. There's a lot more options. I've
Speaker 0: it looks like there's even a Python package
Speaker 0: that allows you to do a verbalized sampling.
Speaker 0: So if any of you are Python users
Speaker 0: and would like to try that, pip install
Speaker 0: verbalized sampling, check that out. But that's kinda
Speaker 0: cool. Let's move on to the next article.
Speaker 0: We already talked about Wozniak pushing back against
Speaker 0: the AI superintelligence serve vibe coding fade fades
Speaker 0: as Wozniak pushes for a practical successor. This
Speaker 0: was from the new stack written by Daryl
Speaker 0: Taft. Steve Wozniak is and this is just
Speaker 0: some context before we get into the article.
Speaker 0: Steve Wozniak has resurfaced in the dev world
Speaker 0: promoting a new production ready coding framework as
Speaker 0: a replacement for the short lived vibe coding
Speaker 0: trend, an approach that emphasize flow and creativity
Speaker 0: over structure. His alternative aims to merge intuition
Speaker 0: with industrial grade reliability. Yeah. So it's kind
Speaker 0: of one thing about vibe coding that I
Speaker 0: don't understand is, like, what do you mean
Speaker 0: creativity over structure? Are we not I understand
Speaker 0: that as the vibe coder, quote, unquote, you
Speaker 0: don't interact with the quote, code question mark.
Speaker 0: That's my my understanding of the whole process.
Speaker 0: So you don't really care about the structure
Speaker 0: of the code, repeatability. I mean, I feel
Speaker 0: like my issue with it is the the
Speaker 0: the MLM isn't thinking of, oh, best security
Speaker 0: practices for you. The MLM isn't thinking of
Speaker 0: reusing code or or optimizing, any of your
Speaker 0: pipelines. You know what I mean? It's not
Speaker 0: thinking about that unless you ask it to
Speaker 0: think that or ask it to to do
Speaker 0: that. So kinda I just wonder how Vibe
Speaker 0: coders have been and I use this word
Speaker 0: lightly successful, quote, unquote successful. There must be
Speaker 0: some sort of technique they're using. But Wozniak's
Speaker 0: comeback reflects a growing frustration among developers. Creativity
Speaker 0: matters, but shipping stable software still wins. His
Speaker 0: message? Tools should serve humans, not the other
Speaker 0: way around. Yes. So Boz launches to build
Speaker 0: production ready apps using pre built components and
Speaker 0: human oversight as traffic leads to vibe coding
Speaker 0: tools plummets up to sixty four percent. Traffic
Speaker 0: to leading vibe coding tools plummets up to
Speaker 0: sixty four percent. Wow. What what is what
Speaker 0: led to this? Did I miss something? Okay.
Speaker 0: Ben Collins and Brad Eckert say that they
Speaker 0: have been watching the app building bubble deflate
Speaker 0: in real time. It's been re it's been
Speaker 0: pretty dramatic, said Collins, who is cofounder and
Speaker 0: CEO of new AI platform startup, Woz. Since
Speaker 0: June, traffic to Lovable has dropped forty percent.
Speaker 0: Bolt dot news down twenty percent twenty seven
Speaker 0: percent. Vercel's v zero down sixty four percent
Speaker 0: since May, all according to data from Barclays.
Speaker 0: The two I the two MIT trained engineers
Speaker 0: who were roommates over a decade ago think
Speaker 0: they know why. Those tools were never meant
Speaker 0: to build real products. They were built to
Speaker 0: create demos. Everyone got really excited about going
Speaker 0: from prompt to a working prototype in minutes.
Speaker 0: But then the reality sets in. You got
Speaker 0: this mess of code, security holes, and no
Speaker 0: way to actually maintain it. Wow. Yeah. It's
Speaker 0: almost like you don't interact with the code
Speaker 0: when you're vibe coding or something. So I
Speaker 0: guess am I being baited? Is this a
Speaker 0: trick? I guess it has nothing to do
Speaker 0: with Wozniak. No, it does, Steve Wozniak. Okay.
Speaker 0: Let's just keep going. Maybe we'll figure this
Speaker 0: out. So they built San Francisco based Woz,
Speaker 0: which launched last week with six million in
Speaker 0: funding to go on automation with actual human
Speaker 0: engineers to build apps that go beyond prototypes.
Speaker 0: Ask any engineer who has worked in a
Speaker 0: big tech company and they'll tell you a
Speaker 0: similar story. A product manager uses one of
Speaker 0: these rapid prototyping tools, build something cool and
Speaker 0: shows it to engineering. Engineering says, great. We
Speaker 0: understand what you want, and then throws the
Speaker 0: whole thing in the trash. Yes. It's exactly
Speaker 0: what you do. They start it from scratch
Speaker 0: because the code is unusable. It's what we
Speaker 0: call spaghetti code. Everything is tangled together. And
Speaker 0: you can't tell what's doing what and it's
Speaker 0: full of shortcuts that will come back to
Speaker 0: bite you later. Yes. Clean your code up.
Speaker 0: Use templates, please. Or functions, you know, the
Speaker 0: whole nine yards. That works fine if you're
Speaker 0: Google or Meta and you have hundreds of
Speaker 0: engineers, but most businesses don't. A restaurant chain
Speaker 0: doesn't have an engineering team. A consulting firm
Speaker 0: doesn't have an engineering team. They need the
Speaker 0: final product, not a product they have to
Speaker 0: spend six months rebuilding. So what they did
Speaker 0: was they built a assembly line for apps.
Speaker 0: WaaS system uses, prebuilt components as building blocks,
Speaker 0: combining them based on what customer needs. When
Speaker 0: something complicated comes up, an actual human engineer
Speaker 0: steps in. And before anything goes live, a
Speaker 0: human reviews the whole thing. So does this
Speaker 0: so I guess they're using almost like a
Speaker 0: factory method where they take components of, like,
Speaker 0: websites and then automate that build, and then
Speaker 0: someone goes and reviews it after. And most
Speaker 0: of these components should be, you know, airtight
Speaker 0: in terms of security practices and, I guess
Speaker 0: that would be the main thing, security practices
Speaker 0: and being able to be, like, readable and
Speaker 0: whatnot. So what you're maintaining are more of
Speaker 0: the templates rather than the actual factory. But
Speaker 0: definitely check this article out if you want
Speaker 0: a little more insight on this tool. Let
Speaker 0: me see if I can find something. Woz
Speaker 0: Woz platform. Woz, Woz I didn't realize how
Speaker 0: little context that I was getting from that.
Speaker 0: Okay. So it is a it's still an
Speaker 0: AI platform. Yes. But in it but instead
Speaker 0: of using writing the the code from scratch,
Speaker 0: it's using components that are prebuilt. That's all
Speaker 0: it is. So and this is just a
Speaker 0: little bit cleaner. It's a little bit safer.
Speaker 0: Just kinda reminds me of Legos, giving someone
Speaker 0: Legos. Instead of letting them actually design the
Speaker 0: Lego pieces, give them Lego pieces that work,
Speaker 0: that can combine together nice and easy. So
Speaker 0: I think that's a kind of a good
Speaker 0: explanation for that. But definitely look into this
Speaker 0: a little bit more. I'm sure something like
Speaker 0: this will replace Vibe Coding, or or is
Speaker 0: I don't think Vibe Coding is gonna work,
Speaker 0: period. Definitely good for demoing, like they suggested
Speaker 0: in the article. Like, a product project manager
Speaker 0: comes up with a cool idea. It doesn't
Speaker 0: know how to code. Let's make a quick
Speaker 0: Vibe code demo. But, I just don't see
Speaker 0: it being production grade anytime soon. Let's get
Speaker 0: into the next article. This this this one
Speaker 0: just caught me by the name, so I
Speaker 0: hope you guys enjoyed it as well. Man
Speaker 0: builds a two billion FPS camera that captures
Speaker 0: light itself. This one's from Petapixel written by
Speaker 0: Matt Grokut. Some context, engineer Andreas Velten has
Speaker 0: created a camera capable of recording at two
Speaker 0: billion frames per second fast enough to visualize
Speaker 0: photons moving across objects. The project merges ultra
Speaker 0: high speed imaging with computational reconstruction to literally
Speaker 0: watch light bounce in real time. Beyond the
Speaker 0: mind blowing visuals, this tech has major implications
Speaker 0: for medical imaging, optical communication, and even AR
Speaker 0: AR development. Seeing light in motion could redefine
Speaker 0: how we model the physical world. What's the
Speaker 0: next frontier once we can record reality at
Speaker 0: light speed? What's yeah. What is beyond that?
Speaker 0: I am super stoked for a lot of
Speaker 0: the AR developments that should be coming up
Speaker 0: in the next, you know, ten, fifteen years.
Speaker 0: I think AR is cool. I think being
Speaker 0: able to interact with, virtual reality in your
Speaker 0: actual reality. So it's yeah. I guess, yeah,
Speaker 0: augmented reality is is cool. I think that's
Speaker 0: awesome. I wanna see more without massive headsets.
Speaker 0: Let's get into the article. Brian Heidett of
Speaker 0: the Alpha Phoenix YouTube channel has recorded a
Speaker 0: laser beam at two billion frames per second,
Speaker 0: recording the path of light as it bounces
Speaker 0: across his garage. Heidett, who was a PhD
Speaker 0: in material science, previously built a one billion
Speaker 0: FPS camera and iterated on the previous design
Speaker 0: to improve virtually everything over the course of
Speaker 0: the last twelve months. The camera itself consists
Speaker 0: of one mirror, one lens, two tubes, cables,
Speaker 0: one of the weirdest camera flash bulbs probably
Speaker 0: ever built, and a few hundred lines of
Speaker 0: Python. It's only fast enough to watch light
Speaker 0: move. It's fast enough to see the past,
Speaker 0: exclaims the ebullient Hi Dad. Light moves about
Speaker 0: six inches or fifteen centimeters per frame of
Speaker 0: this video. The beam of light is traveling
Speaker 0: at the universe's speed limit. Light in any
Speaker 0: reference frame will never move any faster or
Speaker 0: any slower than this speed. So I guess
Speaker 0: there's a a little bit of a catch.
Speaker 0: There are two billion FPS camera can only
Speaker 0: record videos in one by one pixels. So
Speaker 0: he can so since he can only record
Speaker 0: one pixel at a time, he has to
Speaker 0: keep pointing the camera in different directions, which
Speaker 0: will allow him to tile the image. Tiling
Speaker 0: is something astrophotographers do to get high resolution
Speaker 0: images of celestial objects by combining lots of
Speaker 0: photos they have taken. Wow. So that sounds
Speaker 0: like a lot of work, and it's kind
Speaker 0: some of the scientists, that have seen this
Speaker 0: are arguing that the camera still gives a
Speaker 0: rep still gives a representation of a true
Speaker 0: two billion FPS camera while also having stupendous
Speaker 0: amount of while also saving a stupendous amount
Speaker 0: of money. So that's kinda cool. If you
Speaker 0: wanna check this out, there's a video actually
Speaker 0: linked on the page. So check this page
Speaker 0: out. Go to the article and and and
Speaker 0: watch the video. I, you know, this is
Speaker 0: new. This is this is this is new.
Speaker 0: You know? Next up, I got a space
Speaker 0: article for you folks. Japanese Japan launches advanced
Speaker 0: cargo spacecraft to the ISS. So I know
Speaker 0: that the ISS is is getting decommissioned, but,
Speaker 0: you know, they're still doing missions. Right? Japan's
Speaker 0: aerospace exploration agency, JAXA, has successfully launched its
Speaker 0: new HTVX cargo spacecraft to the International Space
Speaker 0: Station. The mission test upgraded autonomous docking and
Speaker 0: extended payload systems ahead of the ISS retirement
Speaker 0: in twenty thirty. Okay. Yeah. Well, there's that.
Speaker 0: With NASA and other partners winding down ISS
Speaker 0: operations, Japan's commitment signals the start of a
Speaker 0: new commercial era in orbit, one that could
Speaker 0: define how nations share low earth space in
Speaker 0: the next decade. So we'll kinda see how
Speaker 0: it goes. I know that they're planning to
Speaker 0: privatize the, the mission of the ISS to
Speaker 0: companies that, are are basically would be commissioned
Speaker 0: to do the research. So I wonder what
Speaker 0: kind of implications this has. You know? They're
Speaker 0: continuing to con you know, refine their technology.
Speaker 0: I'm sure Japan's gonna have one of their
Speaker 0: own space stations up there doing research. So
Speaker 0: we'll kinda see how that goes, but they
Speaker 0: did launch the this spacecraft on Saturday, October
Speaker 0: twenty fifth. That is today not hot? Did
Speaker 0: I say October twenty fifth earlier? Today's the
Speaker 0: twenty sixth, but so they lifted off at,
Speaker 0: nine AM local time in Japan, but it
Speaker 0: was eight PM eastern time. And it's bex
Speaker 0: expected to arrive at the station for its
Speaker 0: capture and birthing on Wednesday, October twenty ninth
Speaker 0: at about eleven fifty AM EDT. So what
Speaker 0: did they change about this? HTVX enhances transportation
Speaker 0: capabilities and has the capability to provide various
Speaker 0: users with on orbit demonstration opportunities for up
Speaker 0: to one point five years after leaving ISS
Speaker 0: until reentry. Mitsubishi Heavy Industries, which builds the
Speaker 0: h HTB x four JAXA, wrote in the
Speaker 0: description of the vehicle. So it can rough
Speaker 0: it can loft roughly the same payload mass
Speaker 0: to low Earth orbit, about three thousand two
Speaker 0: hundred pounds or six thousand kilograms. And then
Speaker 0: it's gonna the HTVX debut increases the stable
Speaker 0: the stable of our ISS cargo craft by
Speaker 0: one third. The currently operational freighters are Russia's
Speaker 0: Progress vehicle and Cygnus and Dragon spacecraft built
Speaker 0: by American companies Northrop Grumman and SpaceX, respectively.
Speaker 0: Only Dragon is reusable. The others, including HTVX,
Speaker 0: are designed to burn up in Earth's atmosphere
Speaker 0: when their missions are over. Wow. So, you
Speaker 0: know, one person saving a lot of money
Speaker 0: here. Definitely, SpaceX got an advantage with their
Speaker 0: reusable ships. So, cool. That's a pretty sweet
Speaker 0: article. Just some on on some updates on
Speaker 0: what's going on with our space developments. It's
Speaker 0: kinda cool to see continued development of the
Speaker 0: spacecrafts. But I think that's all I got
Speaker 0: for you guys tonight. Thank you guys so
Speaker 0: much for tuning in again for another episode,
Speaker 0: and we're sorry for the the bad scheduling
Speaker 0: this week. We're weren't really clear how we
Speaker 0: were gonna flip back after we did our
Speaker 0: little show swap. I think we're gonna aim
Speaker 0: to kinda get back into that Monday and
Speaker 0: Thursday posting schedule. So so let us know
Speaker 0: what you guys think. If you guys even
Speaker 0: care about the consistency or if you guys
Speaker 0: wanna supposed more shows. You know, we can
Speaker 0: try to do something like that too, but,
Speaker 0: I wanna I wanna know what you guys
Speaker 0: wanna wanna hear. If you guys don't like
Speaker 0: the articles I brought, let me know. I'll
Speaker 0: try to find other other things outside of
Speaker 0: AI. I know we talked about a lot
Speaker 0: of AI stuff today. So if you are
Speaker 0: not a AI listening enthusiast, I am sorry.
Speaker 0: Just a lot of the news today or
Speaker 0: this week has been surrounding that and the
Speaker 0: AWS stuff, of course. But I guess even
Speaker 0: that was kind of built on the the
Speaker 0: AI topic. So, check out the articles. Look
Speaker 0: forward to seeing the newsletter for me. I'm
Speaker 0: gonna be sending that out this, this evening
Speaker 0: probably. Thank you guys again for listening. Have
Speaker 0: a phenomenal night or day or whenever you're
Speaker 0: listening to this. Stay safe out there. Keep
Speaker 0: your heads on straight, and we'll see you
Speaker 0: guys next time. Have an amazing night or
Speaker 0: day. Man, I I don't know what does